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Title:An exact algorithm to find a maximum weight clique in a weighted undirected graph
Authors:ID Rozman, Kati (Author)
ID Ghysels, An (Author)
ID Janežič, Dušanka (Author)
ID Konc, Janez (Author)
Files:URL URL - Source URL, visit https://www.nature.com/articles/s41598-024-59689-x
 
.pdf PDF - Presentation file, download (1,43 MB)
MD5: BB62E7ACF9DA63A21766408E40E68CA6
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo KI - National Institute of Chemistry
Publication status:Published
Publication version:Version of Record
Publication date:01.01.2024
Year of publishing:2024
Number of pages:str. [1-11]
Numbering:Vol. 14, article no. 9118
Source:Scientific reports
PID:20.500.12556/DiRROS-18846 New window
UDC:54
ISSN on article:2045-2322
DOI:10.1038/s41598-024-59689-x New window
COBISS.SI-ID:194177539 New window
Copyright:© The Author(s) 2024
Note:Nasl. z nasl. zaslona; Opis vira z dne 29. 4. 2024;
Publication date in DiRROS:30.04.2024
Views:72
Downloads:39
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Record is a part of a journal

Title:Scientific reports
Shortened title:Sci. rep.
Publisher:Nature Publishing Group
ISSN:2045-2322
COBISS.SI-ID:18727432 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:N1-0142
Name:COGEVAB: Nova računalniška orodja na molekularni skali za študij vpliva genskih variacij na vezavo zdravil
Funder:ARIS - Slovenian Research and Innovation Agency
Project number:N1-0209
Name:Orodja za inovativno oblikovanje zdravil
Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J1-4414
Name:ProBiS-Fold pristop za določanje vezavnih mest za celoten strukturni človeški proteom pri odkrivanju zdravil
Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J1-1715
Name:Atlas proteinskih interakcij za napovedovanje genskih variacij povezanih z interakcijami z zdravili in razvojem bolezni
Funder:ARIS - Slovenian Research and Innovation Agency
Project number:L7-8269
Name:Novi pristopi za boljša biološka zdravila

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:20.04.2024
Applies to:Text and Data Mining valid from 2024-04-20 Version of Record valid from 2024-04-20

Secondary language

Language:Slovenian
Keywords:kemija, zdravila, grafi, algoritmi


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